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Average mean time
eazyBI for Jira

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In this report, you can see how much time it takes for a new idea to get implemented and deployed. How long does it take from the moment of opportunity to the moment you can actually use it in the product? Shortening Average Mean Time to Change time means customers can react to market changes and requirements faster.

This measure is coupled with the Average Mean Recovery time to give an overview of the environment. This second measure shows the time it takes to recover after an incident is raised; commonly measured as production downtime.

How to build it

To build this report start with the table view and drag and drop Project dimension in Rows, select the "Project" level to see data per each project. Add "Project" dimension into Pages and select projects that have related DevOps metrics. When eazyBI creates sample reports then the top 3 projects are automatically selected.

Then in the Measures dimension select measures Average Mean Time to Change and Average Mean Recovery Time and unselect default measure "Issues created".

  • "Average Mean Time to Change" - average days from issue creation to resolution for issues that are not with Incident issue type.
  • "Average Mean Time to Recovery" - average resolution days for incidents (issues with pre-defined incident issue types).

Add Time dimension to Pages. Select member Last 12 months and apply this member in Page filter.

Switch to the Gauge tab and in the toolbar select option Only values.

See also